Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis

Hepatocellular carcinoma (HCC) is a widespread, common type of cancer in Asian countries, and the need for biomarker-matched molecularly targeted therapy for HCC has been increasingly recognized. However, the effective treatment for HCC is unclear. Therefore, identifying additional hub genes and pat...

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Main Authors: Zengyuan Zhou, Yuzheng Li, Haiyue Hao, Yuanyuan Wang, Zihao Zhou, Zhipeng Wang, Xia Chu
Format: Article
Language:English
Published: SAGE Publishing 2019-12-01
Series:Cell Transplantation
Online Access:https://doi.org/10.1177/0963689719893950
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spelling doaj-34fca04ee01e4ecd9fbc5ee94e9e52ec2020-11-25T03:23:36ZengSAGE PublishingCell Transplantation1555-38922019-12-012810.1177/0963689719893950Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics AnalysisZengyuan Zhou0Yuzheng Li1Haiyue Hao2Yuanyuan Wang3Zihao Zhou4Zhipeng Wang5Xia Chu6* Both the authors contributed equally to this article.* Both the authors contributed equally to this article. Department of Medical Oncology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, China Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, China Department of Medical Oncology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, ChinaHepatocellular carcinoma (HCC) is a widespread, common type of cancer in Asian countries, and the need for biomarker-matched molecularly targeted therapy for HCC has been increasingly recognized. However, the effective treatment for HCC is unclear. Therefore, identifying additional hub genes and pathways as novel prognostic biomarkers for HCC is necessary. In this study, the expression profiles of GSE121248, GSE45267 and GSE84402 were obtained from the Gene Expression Omnibus (GEO), including 132 HCC and 90 noncancerous liver tissues. Differentially expressed genes (DEGs) between HCC and noncancerous samples were identified by GEO2 R and Venn diagrams. In total, 109 DEGs were identified in these datasets, including 24 upregulated genes and 85 downregulated genes. Subsequently, Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) preliminary analyses of the DEGs were performed using DAVID. The protein–protein interaction (PPI) network of the DEGs was constructed with the Search Tool for the Retrieval of Interacting Genes (STRING) and visualized in Cytoscape. Module analysis of the PPI network was performed using MCODE to get hub genes. Moreover, the influence of the hub genes on overall survival was determined with Kaplan–Meier plotter. All hub genes were analyzed by Gene Expression Profiling Interactive Analysis (GEPIA) and KEGG. Overall, the hub genes DTL , CDK1 , CCNB1 , RACGAP1 , ECT2 , NEK2 , BUB1B , PBK , TOP2A , ASPM , HMMR , RRM2 , CDKN3 , PRC1 , and ANLN were upregulated in HCC, and the survival rate was lower for HCC with increased expression of these hub genes. CCNB1 , CDK1 , and RRM2 were enriched in the p53 signaling pathway, and CCNB1 , CDK1 , and BUB1B were enriched in the cell cycle. In brief, we screened 15 hub genes and pathways to identify potential prognostic markers for HCC treatment. However, the specific occurrence and development of HCC with expression of the hub genes should be verified in vivo and in vitro .https://doi.org/10.1177/0963689719893950
collection DOAJ
language English
format Article
sources DOAJ
author Zengyuan Zhou
Yuzheng Li
Haiyue Hao
Yuanyuan Wang
Zihao Zhou
Zhipeng Wang
Xia Chu
spellingShingle Zengyuan Zhou
Yuzheng Li
Haiyue Hao
Yuanyuan Wang
Zihao Zhou
Zhipeng Wang
Xia Chu
Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis
Cell Transplantation
author_facet Zengyuan Zhou
Yuzheng Li
Haiyue Hao
Yuanyuan Wang
Zihao Zhou
Zhipeng Wang
Xia Chu
author_sort Zengyuan Zhou
title Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis
title_short Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis
title_full Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis
title_fullStr Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis
title_full_unstemmed Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis
title_sort screening hub genes as prognostic biomarkers of hepatocellular carcinoma by bioinformatics analysis
publisher SAGE Publishing
series Cell Transplantation
issn 1555-3892
publishDate 2019-12-01
description Hepatocellular carcinoma (HCC) is a widespread, common type of cancer in Asian countries, and the need for biomarker-matched molecularly targeted therapy for HCC has been increasingly recognized. However, the effective treatment for HCC is unclear. Therefore, identifying additional hub genes and pathways as novel prognostic biomarkers for HCC is necessary. In this study, the expression profiles of GSE121248, GSE45267 and GSE84402 were obtained from the Gene Expression Omnibus (GEO), including 132 HCC and 90 noncancerous liver tissues. Differentially expressed genes (DEGs) between HCC and noncancerous samples were identified by GEO2 R and Venn diagrams. In total, 109 DEGs were identified in these datasets, including 24 upregulated genes and 85 downregulated genes. Subsequently, Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) preliminary analyses of the DEGs were performed using DAVID. The protein–protein interaction (PPI) network of the DEGs was constructed with the Search Tool for the Retrieval of Interacting Genes (STRING) and visualized in Cytoscape. Module analysis of the PPI network was performed using MCODE to get hub genes. Moreover, the influence of the hub genes on overall survival was determined with Kaplan–Meier plotter. All hub genes were analyzed by Gene Expression Profiling Interactive Analysis (GEPIA) and KEGG. Overall, the hub genes DTL , CDK1 , CCNB1 , RACGAP1 , ECT2 , NEK2 , BUB1B , PBK , TOP2A , ASPM , HMMR , RRM2 , CDKN3 , PRC1 , and ANLN were upregulated in HCC, and the survival rate was lower for HCC with increased expression of these hub genes. CCNB1 , CDK1 , and RRM2 were enriched in the p53 signaling pathway, and CCNB1 , CDK1 , and BUB1B were enriched in the cell cycle. In brief, we screened 15 hub genes and pathways to identify potential prognostic markers for HCC treatment. However, the specific occurrence and development of HCC with expression of the hub genes should be verified in vivo and in vitro .
url https://doi.org/10.1177/0963689719893950
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